Multi-Tone Energy Waveform Allocation Under PAPR and Peak Power Limits
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Solution Overview
Problem
Existing wireless communication systems face challenges in transmitting multi-tone energy waveforms that exceed the transmission capabilities of power amplifiers, leading to waveform distortion and reduced energy harvesting efficiency for ambient wireless devices.
Innovation Solution
A closed loop multi-sine waveform operation is employed to allocate resources for both data and multi-tone energy waveforms based on the transmission capabilities of the power amplifier, using a distributed unit to determine resource subsets for each waveform, ensuring the peak power and peak-to-average power ratio are within the amplifier's limits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multi-tone energy waveforms are transmitted to enhance energy harvesting efficiency, then energy harvesting efficiency is improved, but waveform distortion occurs when the waveforms exceed power amplifier transmission capabilities
Solution Approach 1:
The system performs preliminary assessment of power amplifier capabilities and peak-to-average power ratio before transmitting multi-tone energy waveforms. The network entity determines the transmission capabilities of the power amplifier and uses this information to pre-calculate appropriate resource allocations for the multi-tone energy waveform, ensuring that the waveform parameters are adjusted in advance to match the amplifier's capabilities and avoid distortion.
2Productivity
If resource allocation is optimized for multi-tone energy waveforms, then energy harvesting efficiency is improved, but the complexity of resource management increases
Solution Approach 1:
The system implements a feedback mechanism where the network entity receives information about power amplifier capabilities and peak-to-average power ratio from the transmitting device. Based on this feedback, the network entity dynamically adjusts the resource allocation for multi-tone energy waveforms, optimizing energy harvesting efficiency while maintaining manageable complexity through adaptive rather than exhaustive resource management.
3Productivity
If peak power is increased to improve energy transmission, then energy harvesting efficiency is improved, but the risk of waveform clipping increases
Solution Approach 1:
The system applies preliminary anti-action by assessing the peak-to-average power ratio and power amplifier capabilities before transmission, and pre-adjusting the multi-tone energy waveform parameters to prevent waveform clipping. The network entity determines appropriate peak power levels in advance that maximize energy transmission while staying within the amplifier's linear operating range, thereby preventing the harmful effect of waveform distortion before it occurs.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. A distributed unit (DU) may output to a radio unit (RU), a data waveform and an initial resource allocation for the data waveform. The RU may generate and transmit to the DU a peak-to-average power ratio (PAPR) for the data waveform and a peak power value for a transmission time interval (TTI). Based on the PAPR and the peak power value, the DU generate and forward to the RU a multiplexed signal. The multiplexed signal may include the data waveform associated with a first resource allocation and comprising a multi-tone energy waveform associated with a second resource allocation. In some examples, the multi-tone energy waveform may be used for power harvesting operations at one or more ambient wireless devices. The RU may transmit the multiplexed signal to one or more wireless devices.